Automated pipeline employed for preprocessing in <i>T. brucei</i> life cycle stage classification.

<p>The pipeline consists of two main stages: (a) Cell detection and segmentation using the Cellpose algorithm; and (b) Post-processing, which includes the automated removal of cells at the original camera image edges and filtering of potential contaminants mistakenly identified as cells. The r...

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Bibliographic Details
Main Author: Hamid Cheraghi (22057476) (author)
Other Authors: Lara López-Escobar (22057479) (author), José Rino (81063) (author), Luisa M. Figueiredo (7841315) (author), Bálint Szabó (235162) (author)
Published: 2025
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Summary:<p>The pipeline consists of two main stages: (a) Cell detection and segmentation using the Cellpose algorithm; and (b) Post-processing, which includes the automated removal of cells at the original camera image edges and filtering of potential contaminants mistakenly identified as cells. The raw input images are processed by Cellpose, which then outputs segmented images. This panel is intended to illustrate how the algorithm identifies and delineates individual parasites from the background. The processed cell images from this pipeline are subsequently used for classification.</p>